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Clustering Transactional Data [PDF]
, 2002 In this paper we present a partitioning method capable to manage transactions, namelyt uples of variable size of categorical data. We adapt the standard definition of mathematical distance used in the KMeans algorithm to represent dissimilarityam ong transactions, and redefine the notion of cluster centroid.
Giannotti F, Gozzi C, Manco G
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Distributed data cache designs for clustered VLIW processors [PDF]
, 2005 Wire delays are a major concern for current and forthcoming processors. One approach to deal with this problem is to divide the processor into semi-independent units referred to as clusters.
Gibert Codina, Enric +2 more
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Proceedings of the 7th International Conference on Data Science, Technology and Applications, 2018 abstract
Michele Ianni +3 more
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ACM Computing Surveys, 1999 Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis.
Jain, AK, Murty, MN, Flynn, PJ
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Variable-based multi-module data caches for clustered VLIW processors [PDF]
, 2005 Memory structures consume an important fraction of the total processor energy. One solution to reduce the energy consumed by cache memories consists of reducing their supply voltage and/or increase their threshold voltage at an expense in access time. We
Abella Ferrer, Jaume +4 more
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Microbiome, 2021 Background Matched-set data arise frequently in microbiome studies. For example, we may collect pre- and post-treatment samples from a set of individuals, or use important confounding variables to match data from case participants to one or more control ...
Zhengyi Zhu +3 more
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Clustered Multicast Source Routing for Large-Scale Cloud Data Centers
IEEE Access, 2021 The multi-tenancy concept in cloud data center (DC) networks paves the way towards advancements and innovation in the underlying infrastructure such as network virtualization.
Jarallah Alqahtani +2 more
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General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv
Journal of Statistical Software, 2018 The R package frailtySurv for simulating and fitting semi-parametric shared frailty models is introduced. Package frailtySurv implements semi-parametric consistent estimators for a variety of frailty distributions, including gamma, log-normal, inverse ...
John V. Monaco, Malka Gorfine, Li Hsu
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Deep Learning for Vessel Trajectory Prediction Using Clustered AIS Data
Mathematics, 2022 Accurate vessel track prediction is key for maritime traffic control and management. Accurate prediction results can enable collision avoidance, in addition to being suitable for planning routes in advance, shortening the sailing distance, and improving ...
Cheng-Hong Yang +5 more
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Clustering spatial transcriptomics data
Bioinformatics, 2021 AbstractMotivationRecent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types.
Haotian Teng, Ye Yuan, Ziv Bar-Joseph
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